GHSA-4487-X383-QPPH
Vulnerability from github – Published: 2018-10-17 20:27 – Updated: 2024-03-08 20:42
VLAI
Summary
Possible privilege escalation in org.springframework:spring-core
Details
Spring Framework, versions 5.0 prior to 5.0.5 and versions 4.3 prior to 4.3.15 and older unsupported versions, provide client-side support for multipart requests. When Spring MVC or Spring WebFlux server application (server A) receives input from a remote client, and then uses that input to make a multipart request to another server (server B), it can be exposed to an attack, where an extra multipart is inserted in the content of the request from server A, causing server B to use the wrong value for a part it expects. This could to lead privilege escalation, for example, if the part content represents a username or user roles.
Severity
7.5 (High)
{
"affected": [
{
"package": {
"ecosystem": "Maven",
"name": "org.springframework:spring-core"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "4.3.15"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Maven",
"name": "org.springframework:spring-core"
},
"ranges": [
{
"events": [
{
"introduced": "5.0.0"
},
{
"fixed": "5.0.5"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2018-1272"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": true,
"github_reviewed_at": "2020-06-16T20:57:17Z",
"nvd_published_at": "2018-04-06T13:29:00Z",
"severity": "HIGH"
},
"details": "Spring Framework, versions 5.0 prior to 5.0.5 and versions 4.3 prior to 4.3.15 and older unsupported versions, provide client-side support for multipart requests. When Spring MVC or Spring WebFlux server application (server A) receives input from a remote client, and then uses that input to make a multipart request to another server (server B), it can be exposed to an attack, where an extra multipart is inserted in the content of the request from server A, causing server B to use the wrong value for a part it expects. This could to lead privilege escalation, for example, if the part content represents a username or user roles.",
"id": "GHSA-4487-x383-qpph",
"modified": "2024-03-08T20:42:23Z",
"published": "2018-10-17T20:27:47Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-1272"
},
{
"type": "WEB",
"url": "https://github.com/spring-projects/spring-framework/commit/ab2410c754b67902f002bfcc0c3895bd7772d39"
},
{
"type": "WEB",
"url": "https://github.com/spring-projects/spring-framework/commit/e02ff3a0da50744b0980d5d665fd242eedea767"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHSA-2018:1320"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHSA-2018:2669"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-4487-x383-qpph"
},
{
"type": "WEB",
"url": "https://pivotal.io/security/cve-2018-1272"
},
{
"type": "WEB",
"url": "https://www.oracle.com/security-alerts/cpujul2020.html"
},
{
"type": "WEB",
"url": "https://www.oracle.com/security-alerts/cpuoct2021.html"
},
{
"type": "WEB",
"url": "https://www.oracle.com/technetwork/security-advisory/cpujan2019-5072801.html"
},
{
"type": "WEB",
"url": "https://www.oracle.com/technetwork/security-advisory/cpujul2019-5072835.html"
},
{
"type": "WEB",
"url": "http://www.oracle.com/technetwork/security-advisory/cpujul2018-4258247.html"
},
{
"type": "WEB",
"url": "http://www.oracle.com/technetwork/security-advisory/cpuoct2018-4428296.html"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/103697"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Possible privilege escalation in org.springframework:spring-core"
}
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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